Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:46:33.540196
Analysis finished2020-08-25 00:47:34.002389
Duration1 minute and 0.46 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.200264802634024e-10
Minimum-1.8249982595443728
Maximum1.7210465669631958
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:34.045712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.82499826
5-th percentile-1.623129421
Q1-0.802652657
median0.01734301914
Q30.8866656274
95-th percentile1.57006979
Maximum1.721046567
Range3.546044827
Interquartile range (IQR)1.689318284

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-2380802277
Kurtosis-1.065264577
Mean-4.200264803e-10
Median Absolute Deviation (MAD)0.838899429
Skewness-0.03246521177
Sum-2.100132401e-07
Variance1.000000001
2020-08-25T00:47:34.149908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0397338494710.2%
 
-1.3737094410.2%
 
-1.11193788110.2%
 
1.71937060410.2%
 
0.033222656710.2%
 
0.825167655910.2%
 
-0.227703943810.2%
 
-1.11977863310.2%
 
-1.04556119410.2%
 
0.173664376110.2%
 
0.993099987510.2%
 
0.545246422310.2%
 
1.51042032210.2%
 
0.532555580110.2%
 
-0.317059606310.2%
 
-0.723964810410.2%
 
0.571643292910.2%
 
0.330732852210.2%
 
0.727873504210.2%
 
-0.964202940510.2%
 
-1.73310005710.2%
 
1.33562684110.2%
 
-1.01240587210.2%
 
-1.11201810810.2%
 
-0.598389744810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.8249982610.2%
 
-1.82276916510.2%
 
-1.81333935310.2%
 
-1.81097376310.2%
 
-1.80833804610.2%
 
-1.80700504810.2%
 
-1.80601692210.2%
 
-1.79746782810.2%
 
-1.79128789910.2%
 
-1.78905248610.2%
 
ValueCountFrequency (%) 
1.72104656710.2%
 
1.71937060410.2%
 
1.71735644310.2%
 
1.71411871910.2%
 
1.70818710310.2%
 
1.70030057410.2%
 
1.6971201910.2%
 
1.69085310.2%
 
1.68669164210.2%
 
1.68372225810.2%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.405155777931213e-10
Minimum-1.7338168621063232
Maximum1.662153244018555
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:34.267672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.733816862
5-th percentile-1.601766253
Q1-0.8892976493
median0.02682170086
Q30.8923175037
95-th percentile1.475247484
Maximum1.662153244
Range3.395970106
Interquartile range (IQR)1.781615153

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)2270067281
Kurtosis-1.255457746
Mean4.405155778e-10
Median Absolute Deviation (MAD)0.9002765417
Skewness-0.07183100234
Sum2.202577889e-07
Variance0.9999999994
2020-08-25T00:47:34.371685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.350096881410.2%
 
-0.422540605110.2%
 
-1.61000001410.2%
 
0.956717014310.2%
 
0.135822415410.2%
 
1.2975202810.2%
 
0.6522261510.2%
 
0.0331015288810.2%
 
-1.21942257910.2%
 
-0.932200193410.2%
 
-0.798401713410.2%
 
0.549169361610.2%
 
0.579373478910.2%
 
1.54320573810.2%
 
-1.18464088410.2%
 
1.48508620310.2%
 
1.46214330210.2%
 
0.620815515510.2%
 
-1.32298815310.2%
 
0.488588780210.2%
 
-0.540402114410.2%
 
-1.64770877410.2%
 
-1.0144023910.2%
 
-0.964234292510.2%
 
-0.0588609240910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73381686210.2%
 
-1.72776603710.2%
 
-1.72766208610.2%
 
-1.72061204910.2%
 
-1.71965360610.2%
 
-1.71719431910.2%
 
-1.71517729810.2%
 
-1.69575238210.2%
 
-1.69545328610.2%
 
-1.69413280510.2%
 
ValueCountFrequency (%) 
1.66215324410.2%
 
1.65960919910.2%
 
1.64336693310.2%
 
1.62229943310.2%
 
1.61856424810.2%
 
1.61693859110.2%
 
1.61463749410.2%
 
1.61387455510.2%
 
1.61217784910.2%
 
1.60802984210.2%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.872004097464469e-10
Minimum-2.265621900558472
Maximum2.137283563613892
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:34.486910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.265621901
5-th percentile-1.548601878
Q1-0.7942919433
median-0.05351963453
Q30.7840065062
95-th percentile1.631128246
Maximum2.137283564
Range4.402905464
Interquartile range (IQR)1.57829845

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)-1270324540
Kurtosis-0.8945977238
Mean-7.872004097e-10
Median Absolute Deviation (MAD)0.7977281492
Skewness0.04142965593
Sum-3.936002049e-07
Variance0.9999999964
2020-08-25T00:47:34.587810image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.782850086710.2%
 
0.143148854410.2%
 
0.352208107710.2%
 
-2.06721687310.2%
 
-0.126055553610.2%
 
1.21938788910.2%
 
-0.263511687510.2%
 
0.558239579210.2%
 
-0.638789355810.2%
 
0.0844574198110.2%
 
-1.07291436210.2%
 
-0.560427844510.2%
 
0.0406087711510.2%
 
0.881187140910.2%
 
-0.43961760410.2%
 
-1.00324332710.2%
 
-0.186120107810.2%
 
1.74140894410.2%
 
1.30331754710.2%
 
-0.428512722310.2%
 
-0.0512908548110.2%
 
-1.66670858910.2%
 
1.27608835710.2%
 
0.362479329110.2%
 
1.02413797410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.26562190110.2%
 
-2.19554710410.2%
 
-2.17496848110.2%
 
-2.06721687310.2%
 
-2.02627325110.2%
 
-1.98971390710.2%
 
-1.96803355210.2%
 
-1.94452655310.2%
 
-1.91969549710.2%
 
-1.90191805410.2%
 
ValueCountFrequency (%) 
2.13728356410.2%
 
2.0097708710.2%
 
1.93436944510.2%
 
1.90966093510.2%
 
1.90400838910.2%
 
1.89260220510.2%
 
1.88572490210.2%
 
1.86153864910.2%
 
1.82916474310.2%
 
1.80501103410.2%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.485497578978538e-10
Minimum-1.7309936285018919
Maximum1.7085795402526855
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:34.697752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.730993629
5-th percentile-1.531614721
Q1-0.8840250522
median0.0007997377834
Q30.8264851421
95-th percentile1.590854973
Maximum1.70857954
Range3.439573169
Interquartile range (IQR)1.710510194

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1541901742
Kurtosis-1.200719536
Mean-6.485497579e-10
Median Absolute Deviation (MAD)0.8509171979
Skewness-0.008628692155
Sum-3.242748789e-07
Variance1.000000003
2020-08-25T00:47:34.808457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.43364763310.2%
 
-0.697611689610.2%
 
-1.41903281210.2%
 
-0.0776772424610.2%
 
-1.15104150810.2%
 
-0.306316196910.2%
 
-0.907873570910.2%
 
0.740566134510.2%
 
1.05925834210.2%
 
-1.49481177310.2%
 
-0.90267950310.2%
 
0.326438218410.2%
 
0.775730609910.2%
 
-1.24482214510.2%
 
1.46112310910.2%
 
0.732769787310.2%
 
-1.0554262410.2%
 
0.844338476710.2%
 
0.728196978610.2%
 
1.63469719910.2%
 
1.12570524210.2%
 
0.601915895910.2%
 
-0.642933785910.2%
 
-0.0843951553110.2%
 
-0.0829305350810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73099362910.2%
 
-1.72787356410.2%
 
-1.7216129310.2%
 
-1.71414041510.2%
 
-1.71404695510.2%
 
-1.69824373710.2%
 
-1.68979370610.2%
 
-1.67863488210.2%
 
-1.66946423110.2%
 
-1.6616864210.2%
 
ValueCountFrequency (%) 
1.7085795410.2%
 
1.70638132110.2%
 
1.69511115610.2%
 
1.69197630910.2%
 
1.69034600310.2%
 
1.68882954110.2%
 
1.67872917710.2%
 
1.67822217910.2%
 
1.66460955110.2%
 
1.65793967210.2%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.287568688392639e-10
Minimum-1.7878284454345703
Maximum1.6707931756973269
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:34.924639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.787828445
5-th percentile-1.626068485
Q1-0.8082425296
median-0.04144039936
Q30.8594941497
95-th percentile1.529975927
Maximum1.670793176
Range3.458621621
Interquartile range (IQR)1.667736679

Descriptive statistics

Standard deviation1.000000005
Coefficient of variation (CV)-3041761555
Kurtosis-1.163946392
Mean-3.287568688e-10
Median Absolute Deviation (MAD)0.8473935444
Skewness-0.01839135581
Sum-1.643784344e-07
Variance1.000000009
2020-08-25T00:47:35.198884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.706122338810.2%
 
0.796367645310.2%
 
-0.687812030310.2%
 
-0.33365359910.2%
 
-0.696421563610.2%
 
1.52017271510.2%
 
0.0734046623110.2%
 
0.790383219710.2%
 
1.61588847610.2%
 
-0.963217377710.2%
 
1.16667318310.2%
 
-1.02605354810.2%
 
0.196127846810.2%
 
1.26824259810.2%
 
-0.69354963310.2%
 
1.27020561710.2%
 
-0.436219066410.2%
 
0.941066920810.2%
 
0.514990806610.2%
 
-1.36845302610.2%
 
-0.850376665610.2%
 
-1.11592757710.2%
 
1.22195935210.2%
 
1.44992053510.2%
 
-1.63937485210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.78782844510.2%
 
-1.78447687610.2%
 
-1.77872180910.2%
 
-1.77285575910.2%
 
-1.76394259910.2%
 
-1.75138044410.2%
 
-1.74201655410.2%
 
-1.73298633110.2%
 
-1.73052656710.2%
 
-1.72361075910.2%
 
ValueCountFrequency (%) 
1.67079317610.2%
 
1.66809344310.2%
 
1.6680817610.2%
 
1.65875923610.2%
 
1.65179264510.2%
 
1.62492251410.2%
 
1.62036514310.2%
 
1.61588847610.2%
 
1.60353863210.2%
 
1.60250639910.2%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.359791874885558e-10
Minimum-1.7746442556381226
Maximum1.6501773595809937
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:35.325821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.774644256
5-th percentile-1.623011136
Q1-0.8613119274
median0.06505584344
Q30.8533687294
95-th percentile1.52324515
Maximum1.65017736
Range3.424821615
Interquartile range (IQR)1.714680657

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)1068399824
Kurtosis-1.196240263
Mean9.359791875e-10
Median Absolute Deviation (MAD)0.8527624644
Skewness-0.08739848927
Sum4.679895937e-07
Variance0.9999999979
2020-08-25T00:47:35.434173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.373533517110.2%
 
-0.232014700810.2%
 
-0.337062984710.2%
 
0.720025658610.2%
 
-1.60021567310.2%
 
0.834289431610.2%
 
0.0567818842810.2%
 
0.581362187910.2%
 
-0.846011161810.2%
 
-1.39710652810.2%
 
-0.457188218810.2%
 
-1.28578615210.2%
 
0.826490640610.2%
 
0.240270122910.2%
 
-0.45621517310.2%
 
-0.928062379410.2%
 
-1.1706236610.2%
 
1.04948258410.2%
 
1.53191196910.2%
 
-0.663417756610.2%
 
0.640956997910.2%
 
0.73080223810.2%
 
-0.685226510.2%
 
0.220374643810.2%
 
-0.237708345110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.77464425610.2%
 
-1.76726961110.2%
 
-1.75711512610.2%
 
-1.75521707510.2%
 
-1.75329577910.2%
 
-1.74987864510.2%
 
-1.74424374110.2%
 
-1.7317215210.2%
 
-1.73062372210.2%
 
-1.72162902410.2%
 
ValueCountFrequency (%) 
1.6501773610.2%
 
1.64691829710.2%
 
1.64086902110.2%
 
1.63780820410.2%
 
1.63700473310.2%
 
1.63622415110.2%
 
1.61024892310.2%
 
1.60802960410.2%
 
1.60793268710.2%
 
1.60150432610.2%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3648532339871621e-09
Minimum-1.688015341758728
Maximum1.7475383281707764
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:35.552401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.688015342
5-th percentile-1.540803897
Q1-0.8678062558
median-0.02848086692
Q30.8748982847
95-th percentile1.575563335
Maximum1.747538328
Range3.43555367
Interquartile range (IQR)1.74270454

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)-732679509.6
Kurtosis-1.221177058
Mean-1.364853234e-09
Median Absolute Deviation (MAD)0.885586163
Skewness0.091832044
Sum-6.82426617e-07
Variance0.9999999962
2020-08-25T00:47:35.659944image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.60156238110.2%
 
1.74732577810.2%
 
-1.19403171510.2%
 
1.22206246910.2%
 
-0.300861746110.2%
 
-1.0215017810.2%
 
-0.79819446810.2%
 
-0.717141032210.2%
 
-0.9846267710.2%
 
-1.43038284810.2%
 
-0.74351239210.2%
 
1.39523053210.2%
 
-1.65304398510.2%
 
-0.0861035212910.2%
 
-0.728871226310.2%
 
-1.063223610.2%
 
1.50663292410.2%
 
1.07349276510.2%
 
1.51830899710.2%
 
1.29567325110.2%
 
0.912477731710.2%
 
0.346865266610.2%
 
-1.58668589610.2%
 
0.110886752610.2%
 
1.09405410310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68801534210.2%
 
-1.68459570410.2%
 
-1.67740416510.2%
 
-1.6750576510.2%
 
-1.66201615310.2%
 
-1.66085600910.2%
 
-1.65405416510.2%
 
-1.65304398510.2%
 
-1.64469504410.2%
 
-1.6439191110.2%
 
ValueCountFrequency (%) 
1.74753832810.2%
 
1.74732577810.2%
 
1.73523914810.2%
 
1.7338473810.2%
 
1.72456288310.2%
 
1.7178257710.2%
 
1.71405005510.2%
 
1.70725202610.2%
 
1.70670425910.2%
 
1.69907474510.2%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.688037395477295e-10
Minimum-1.6984121799468994
Maximum1.7196613550186155
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:35.777808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.69841218
5-th percentile-1.557443768
Q1-0.8351128548
median-0.02440753113
Q30.8746903092
95-th percentile1.572000033
Maximum1.719661355
Range3.418073535
Interquartile range (IQR)1.709803164

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)2711469256
Kurtosis-1.19292111
Mean3.688037395e-10
Median Absolute Deviation (MAD)0.8539259387
Skewness0.06434692113
Sum1.844018698e-07
Variance1.000000002
2020-08-25T00:47:35.884161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.59374892710.2%
 
0.0250950343910.2%
 
-0.401565015310.2%
 
1.15373754510.2%
 
-0.65262657410.2%
 
-0.0264676455410.2%
 
1.19783794910.2%
 
0.396141737710.2%
 
1.28066551710.2%
 
0.741872429810.2%
 
-0.081872165210.2%
 
1.25450158110.2%
 
1.42247605310.2%
 
-1.53527736710.2%
 
-0.326931357410.2%
 
0.862612605110.2%
 
0.822603404510.2%
 
-1.25523996410.2%
 
0.104531273210.2%
 
0.377111077310.2%
 
0.562818169610.2%
 
1.16539204110.2%
 
1.52971804110.2%
 
-1.68033075310.2%
 
1.53970801810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.6984121810.2%
 
-1.69044458910.2%
 
-1.68539214110.2%
 
-1.68033075310.2%
 
-1.67863631210.2%
 
-1.66343641310.2%
 
-1.65923190110.2%
 
-1.65084397810.2%
 
-1.63303637510.2%
 
-1.61546957510.2%
 
ValueCountFrequency (%) 
1.71966135510.2%
 
1.71716737710.2%
 
1.70489954910.2%
 
1.69570553310.2%
 
1.69351589710.2%
 
1.6837625510.2%
 
1.68371248210.2%
 
1.67171645210.2%
 
1.65504145610.2%
 
1.65117454510.2%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.40868632781644e-10
Minimum-1.5851877927780151
Maximum1.8326274156570437
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:35.997604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.585187793
5-th percentile-1.446127111
Q1-0.9108304232
median-0.0782982111
Q30.8411509097
95-th percentile1.634127206
Maximum1.832627416
Range3.417815208
Interquartile range (IQR)1.751981333

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)1062847632
Kurtosis-1.211370928
Mean9.408686328e-10
Median Absolute Deviation (MAD)0.871609807
Skewness0.1396406485
Sum4.704343164e-07
Variance0.9999999965
2020-08-25T00:47:36.105344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.18359315410.2%
 
-0.48321956410.2%
 
-1.20769965610.2%
 
0.353195160610.2%
 
-1.4459849610.2%
 
-0.498215049510.2%
 
-1.44592523610.2%
 
-0.482591211810.2%
 
0.539403736610.2%
 
-0.232995733610.2%
 
1.18819224810.2%
 
0.967147052310.2%
 
-1.33676385910.2%
 
-0.191494464910.2%
 
0.559927463510.2%
 
-1.30451536210.2%
 
-1.45780062710.2%
 
-0.918583631510.2%
 
1.24633443410.2%
 
0.0731244608810.2%
 
-1.06841313810.2%
 
0.307312756810.2%
 
-1.34839308310.2%
 
-0.433290332610.2%
 
0.686521589810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.58518779310.2%
 
-1.58235967210.2%
 
-1.5763596310.2%
 
-1.57477164310.2%
 
-1.56601309810.2%
 
-1.55109345910.2%
 
-1.5506334310.2%
 
-1.54834258610.2%
 
-1.53205704710.2%
 
-1.5257471810.2%
 
ValueCountFrequency (%) 
1.83262741610.2%
 
1.83138704310.2%
 
1.81767249110.2%
 
1.80716419210.2%
 
1.80267548610.2%
 
1.79162371210.2%
 
1.77153205910.2%
 
1.77030539510.2%
 
1.77010333510.2%
 
1.76283645610.2%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.032641977071763e-10
Minimum-1.624669313430786
Maximum1.713894605636597
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:36.227506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.624669313
5-th percentile-1.478789127
Q1-0.8886547089
median-0.07178721204
Q30.8499545157
95-th percentile1.572255343
Maximum1.713894606
Range3.338563919
Interquartile range (IQR)1.738609225

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)1657648509
Kurtosis-1.280352457
Mean6.032641977e-10
Median Absolute Deviation (MAD)0.891514007
Skewness0.06347735541
Sum3.016320989e-07
Variance0.9999999961
2020-08-25T00:47:36.334525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.12304508710.2%
 
1.2005258810.2%
 
-0.659490823710.2%
 
0.73077917110.2%
 
0.800120651710.2%
 
0.750317573510.2%
 
-0.711257100110.2%
 
-0.158771544710.2%
 
0.785477757510.2%
 
-1.05070924810.2%
 
0.899739205810.2%
 
-0.0146498214510.2%
 
-0.27653294810.2%
 
0.345226585910.2%
 
-1.4808713210.2%
 
-1.18818414210.2%
 
1.47926938510.2%
 
-0.124834798310.2%
 
-0.403982639310.2%
 
1.06980133110.2%
 
-0.107344299610.2%
 
1.29173588810.2%
 
-0.887080907810.2%
 
1.1849325910.2%
 
-1.34057378810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.62466931310.2%
 
-1.62145936510.2%
 
-1.61985135110.2%
 
-1.61117851710.2%
 
-1.61027169210.2%
 
-1.60132479710.2%
 
-1.5926750910.2%
 
-1.59093308410.2%
 
-1.58033144510.2%
 
-1.5693279510.2%
 
ValueCountFrequency (%) 
1.71389460610.2%
 
1.70622706410.2%
 
1.70071780710.2%
 
1.69385874310.2%
 
1.68293058910.2%
 
1.67762696710.2%
 
1.67604291410.2%
 
1.67218613610.2%
 
1.66920697710.2%
 
1.66892600110.2%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.380700945854187e-10
Minimum-2.198515653610229
Maximum3.266525983810425
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:36.447737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.198515654
5-th percentile-1.281433451
Q1-0.7389851362
median-0.2179875895
Q30.6140540987
95-th percentile1.855906045
Maximum3.266525984
Range5.465041637
Interquartile range (IQR)1.353039235

Descriptive statistics

Standard deviation0.9999999961
Coefficient of variation (CV)-2957966446
Kurtosis0.3537919855
Mean-3.380700946e-10
Median Absolute Deviation (MAD)0.6049116552
Skewness0.8570196823
Sum-1.690350473e-07
Variance0.9999999921
2020-08-25T00:47:36.552788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.976563274910.2%
 
-0.279341965910.2%
 
-1.38732659810.2%
 
1.00451743610.2%
 
1.67639374710.2%
 
-0.730777263610.2%
 
-0.880193471910.2%
 
0.730778992210.2%
 
1.25649154210.2%
 
1.09633648410.2%
 
-0.989524126110.2%
 
-0.169242352210.2%
 
1.09877014210.2%
 
-0.713213801410.2%
 
-0.948569774610.2%
 
0.629236221310.2%
 
-0.851922094810.2%
 
-0.0209759455210.2%
 
-0.486006468510.2%
 
0.779870688910.2%
 
-0.488449931110.2%
 
-0.21500356510.2%
 
0.329271554910.2%
 
-2.19851565410.2%
 
-1.01326608710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.19851565410.2%
 
-1.81369495410.2%
 
-1.79386377310.2%
 
-1.62076044110.2%
 
-1.61504852810.2%
 
-1.57670462110.2%
 
-1.55367231410.2%
 
-1.51349306110.2%
 
-1.50619947910.2%
 
-1.46492505110.2%
 
ValueCountFrequency (%) 
3.26652598410.2%
 
3.26648235310.2%
 
3.25878143310.2%
 
3.14555478110.2%
 
2.95693159110.2%
 
2.9004244810.2%
 
2.63210773510.2%
 
2.61893391610.2%
 
2.58261990510.2%
 
2.47098517410.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4624168872833253e-09
Minimum-1.7253109216690063
Maximum1.732656478881836
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:36.664652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.725310922
5-th percentile-1.5368469
Q1-0.9062052667
median0.04565674253
Q30.8985249698
95-th percentile1.568481874
Maximum1.732656479
Range3.457967401
Interquartile range (IQR)1.804730237

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)406105076.7
Kurtosis-1.222016567
Mean2.462416887e-09
Median Absolute Deviation (MAD)0.8869106155
Skewness0.008135150442
Sum1.231208444e-06
Variance0.9999999978
2020-08-25T00:47:36.771660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.521960020110.2%
 
0.394700646410.2%
 
-0.924148023110.2%
 
-1.09829664210.2%
 
-0.597977340210.2%
 
-1.71157920410.2%
 
-0.472660273310.2%
 
-1.11783635610.2%
 
-0.0623417422210.2%
 
1.03581583510.2%
 
0.0448204353510.2%
 
0.309736192210.2%
 
-1.50866591910.2%
 
1.58855903110.2%
 
-0.466964751510.2%
 
1.48700523410.2%
 
1.15698826310.2%
 
0.321948260110.2%
 
-0.146684929710.2%
 
0.453928470610.2%
 
-1.49325466210.2%
 
0.481920927810.2%
 
-1.72531092210.2%
 
-0.0362158864710.2%
 
0.487615346910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72531092210.2%
 
-1.71830987910.2%
 
-1.71815133110.2%
 
-1.71157920410.2%
 
-1.70717656610.2%
 
-1.70397925410.2%
 
-1.70120668410.2%
 
-1.69088637810.2%
 
-1.68751895410.2%
 
-1.65010523810.2%
 
ValueCountFrequency (%) 
1.73265647910.2%
 
1.71218681310.2%
 
1.70607173410.2%
 
1.7053637510.2%
 
1.70107781910.2%
 
1.69888091110.2%
 
1.69434368610.2%
 
1.68509578710.2%
 
1.68335843110.2%
 
1.67599642310.2%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.4016557037830355e-10
Minimum-1.7638367414474487
Maximum1.7132632732391355
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:36.890238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.763836741
5-th percentile-1.653716248
Q1-0.8126101494
median0.0215080264
Q30.8464086801
95-th percentile1.482460308
Maximum1.713263273
Range3.477100015
Interquartile range (IQR)1.659018829

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)-2939744895
Kurtosis-1.166619311
Mean-3.401655704e-10
Median Absolute Deviation (MAD)0.831305969
Skewness-0.09143332001
Sum-1.700827852e-07
Variance0.999999998
2020-08-25T00:47:36.994161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.26367044410.2%
 
0.898780405510.2%
 
-0.123208843210.2%
 
0.720417261110.2%
 
-1.03970754110.2%
 
0.529621601110.2%
 
0.606771349910.2%
 
1.64518380210.2%
 
-0.0712831467410.2%
 
1.41276955610.2%
 
-1.52800834210.2%
 
1.28797280810.2%
 
1.0592616810.2%
 
-0.103802107310.2%
 
1.10810315610.2%
 
-0.0348115004610.2%
 
1.51839280110.2%
 
1.06279039410.2%
 
-0.198573291310.2%
 
1.43378007410.2%
 
0.803085386810.2%
 
-0.669297993210.2%
 
0.618518173710.2%
 
-0.0329811982810.2%
 
-1.40110349710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.76383674110.2%
 
-1.75928103910.2%
 
-1.75493109210.2%
 
-1.75459885610.2%
 
-1.75283455810.2%
 
-1.74871432810.2%
 
-1.74341034910.2%
 
-1.73339426510.2%
 
-1.71402907410.2%
 
-1.70848405410.2%
 
ValueCountFrequency (%) 
1.71326327310.2%
 
1.70639967910.2%
 
1.69557118410.2%
 
1.69191777710.2%
 
1.68621420910.2%
 
1.68075656910.2%
 
1.64518380210.2%
 
1.63821494610.2%
 
1.62358200610.2%
 
1.58814394510.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.249174475669861e-10
Minimum-1.7195086479187012
Maximum1.833194732666016
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:37.110354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.719508648
5-th percentile-1.57480731
Q1-0.8267127126
median-0.04485870898
Q30.8582063913
95-th percentile1.635191959
Maximum1.833194733
Range3.552703381
Interquartile range (IQR)1.684919104

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1600211366
Kurtosis-1.106649073
Mean-6.249174476e-10
Median Absolute Deviation (MAD)0.8429777771
Skewness0.07119537607
Sum-3.124587238e-07
Variance1.000000004
2020-08-25T00:47:37.212933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.26997542410.2%
 
-0.37413704410.2%
 
0.22424709810.2%
 
-0.53155589110.2%
 
-1.50648844210.2%
 
-0.815743744410.2%
 
-0.349279671910.2%
 
-1.71453964710.2%
 
-0.300941288510.2%
 
0.0797520205410.2%
 
0.354654759210.2%
 
0.182210683810.2%
 
-1.11784374710.2%
 
0.0975471064410.2%
 
1.71941018110.2%
 
-0.759121179610.2%
 
-0.154873415810.2%
 
-1.41730105910.2%
 
-1.40301442110.2%
 
1.59051573310.2%
 
-1.0486961610.2%
 
0.761080026610.2%
 
-0.301928430810.2%
 
0.768895924110.2%
 
-1.41474710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71950864810.2%
 
-1.71453964710.2%
 
-1.70733976410.2%
 
-1.70133602610.2%
 
-1.6979916110.2%
 
-1.69330954610.2%
 
-1.67355942710.2%
 
-1.67288529910.2%
 
-1.66376566910.2%
 
-1.6634126910.2%
 
ValueCountFrequency (%) 
1.83319473310.2%
 
1.82378375510.2%
 
1.82115185310.2%
 
1.81790077710.2%
 
1.81543815110.2%
 
1.79109811810.2%
 
1.78831338910.2%
 
1.77576172410.2%
 
1.77282464510.2%
 
1.76369845910.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.9310973602415515e-09
Minimum-1.6534550189971924
Maximum1.7163561582565308
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:37.336253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.653455019
5-th percentile-1.52665109
Q1-0.8735334575
median-0.03301761672
Q30.8927691281
95-th percentile1.55709306
Maximum1.716356158
Range3.369811177
Interquartile range (IQR)1.766302586

Descriptive statistics

Standard deviation0.9999999985
Coefficient of variation (CV)-517840280.4
Kurtosis-1.251057617
Mean-1.93109736e-09
Median Absolute Deviation (MAD)0.8919705749
Skewness0.02451921262
Sum-9.655486801e-07
Variance0.9999999971
2020-08-25T00:47:37.437997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.027342210.2%
 
1.29946374910.2%
 
-0.491356611310.2%
 
-0.556931793710.2%
 
0.25847494610.2%
 
-1.0669926410.2%
 
-0.111258700510.2%
 
1.05528426210.2%
 
-1.40489566310.2%
 
0.0981822758910.2%
 
-1.23498570910.2%
 
-1.49281048810.2%
 
0.888787150410.2%
 
0.0373023860210.2%
 
0.76047420510.2%
 
1.17446768310.2%
 
-0.987933337710.2%
 
0.857742428810.2%
 
0.912294149410.2%
 
-0.997720062710.2%
 
0.598394751510.2%
 
-1.57292354110.2%
 
0.155844196710.2%
 
0.448895871610.2%
 
1.41082358410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.65345501910.2%
 
-1.65320229510.2%
 
-1.65178775810.2%
 
-1.64915537810.2%
 
-1.64661669710.2%
 
-1.64510095110.2%
 
-1.64493429710.2%
 
-1.6282398710.2%
 
-1.61851215410.2%
 
-1.60925340710.2%
 
ValueCountFrequency (%) 
1.71635615810.2%
 
1.71400427810.2%
 
1.71277642310.2%
 
1.70658171210.2%
 
1.69333684410.2%
 
1.68737852610.2%
 
1.68298852410.2%
 
1.6801036610.2%
 
1.67383849610.2%
 
1.66571104510.2%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.636845111846924e-11
Minimum-1.8709231615066528
Maximum1.7415900230407717
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:37.548487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.870923162
5-th percentile-1.631864429
Q1-0.8037867695
median-0.03747693636
Q30.8517079651
95-th percentile1.535606033
Maximum1.741590023
Range3.612513185
Interquartile range (IQR)1.655494735

Descriptive statistics

Standard deviation0.9999999995
Coefficient of variation (CV)1.309441248e+10
Kurtosis-1.101839251
Mean7.636845112e-11
Median Absolute Deviation (MAD)0.8239705171
Skewness-0.04962919861
Sum3.818422556e-08
Variance0.999999999
2020-08-25T00:47:37.651759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.14649665410.2%
 
-0.912421464910.2%
 
1.58460962810.2%
 
-0.307285755910.2%
 
1.73500549810.2%
 
0.836253762210.2%
 
-0.185870245110.2%
 
-1.8190023910.2%
 
0.11051393310.2%
 
1.03307473710.2%
 
1.73502492910.2%
 
0.828930199110.2%
 
1.55801856510.2%
 
1.16472244310.2%
 
0.697865843810.2%
 
-0.844087719910.2%
 
-1.77470064210.2%
 
0.598972141710.2%
 
0.387377351510.2%
 
-0.91121143110.2%
 
-1.08858025110.2%
 
0.993488669410.2%
 
-1.4401488310.2%
 
1.3678840410.2%
 
0.232020929510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.87092316210.2%
 
-1.87012696310.2%
 
-1.85009133810.2%
 
-1.8190023910.2%
 
-1.81530344510.2%
 
-1.79331910610.2%
 
-1.78496599210.2%
 
-1.77470064210.2%
 
-1.76065766810.2%
 
-1.75541865810.2%
 
ValueCountFrequency (%) 
1.74159002310.2%
 
1.73502492910.2%
 
1.73500549810.2%
 
1.73450243510.2%
 
1.7172409310.2%
 
1.69684255110.2%
 
1.69614839610.2%
 
1.67872178610.2%
 
1.65705072910.2%
 
1.63407349610.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8741702660918236e-09
Minimum-1.768807053565979
Maximum1.6669807434082031
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:37.771145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.768807054
5-th percentile-1.635961974
Q1-0.8563835323
median0.01719273347
Q30.8776496947
95-th percentile1.549521714
Maximum1.666980743
Range3.435787797
Interquartile range (IQR)1.734033227

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-533569451.7
Kurtosis-1.152051526
Mean-1.874170266e-09
Median Absolute Deviation (MAD)0.8737735869
Skewness-0.06076475276
Sum-9.37085133e-07
Variance1.000000002
2020-08-25T00:47:37.879280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.519529521510.2%
 
-0.168785393210.2%
 
-1.54749596110.2%
 
1.66581177710.2%
 
0.19745528710.2%
 
1.6647001510.2%
 
-1.24202644810.2%
 
-0.716031730210.2%
 
1.12368965110.2%
 
-1.00650680110.2%
 
-1.00645422910.2%
 
1.15204560810.2%
 
0.540368974210.2%
 
-1.68816304210.2%
 
-0.571622133310.2%
 
1.63364338910.2%
 
1.56499075910.2%
 
0.735693514310.2%
 
0.351733684510.2%
 
-0.982765674610.2%
 
1.36983048910.2%
 
-1.50821042110.2%
 
1.5911010510.2%
 
-0.456421792510.2%
 
0.0171046517810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.76880705410.2%
 
-1.76276302310.2%
 
-1.76181232910.2%
 
-1.75890135810.2%
 
-1.75527322310.2%
 
-1.7410960210.2%
 
-1.73952686810.2%
 
-1.73573684710.2%
 
-1.72915887810.2%
 
-1.72804248310.2%
 
ValueCountFrequency (%) 
1.66698074310.2%
 
1.66581177710.2%
 
1.66518187510.2%
 
1.66510605810.2%
 
1.6647001510.2%
 
1.66431009810.2%
 
1.6602692610.2%
 
1.65584683410.2%
 
1.65136563810.2%
 
1.63364338910.2%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.475035429000854e-11
Minimum-1.73373281955719
Maximum1.7554864883422852
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:37.995182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.73373282
5-th percentile-1.551294327
Q1-0.8569331169
median-0.03510212526
Q30.8321132213
95-th percentile1.637492585
Maximum1.755486488
Range3.489219308
Interquartile range (IQR)1.689046338

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1.179936071e+10
Kurtosis-1.098251423
Mean-8.475035429e-11
Median Absolute Deviation (MAD)0.8511928618
Skewness0.05852000182
Sum-4.237517715e-08
Variance1.000000001
2020-08-25T00:47:38.257427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0339354388410.2%
 
-0.578449547310.2%
 
-0.929014205910.2%
 
1.66215026410.2%
 
-0.855774879510.2%
 
1.23810386710.2%
 
0.0447580814410.2%
 
0.85480374110.2%
 
-0.173417955610.2%
 
0.98664140710.2%
 
0.885081589210.2%
 
-1.06899261510.2%
 
0.795241475110.2%
 
1.69662296810.2%
 
-0.22371369610.2%
 
-0.494296908410.2%
 
1.04535257810.2%
 
0.120838321710.2%
 
1.41512548910.2%
 
-1.48373305810.2%
 
0.692719936410.2%
 
-0.145910903810.2%
 
-1.69795155510.2%
 
0.422046691210.2%
 
-0.970357954510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7337328210.2%
 
-1.72939395910.2%
 
-1.72833764610.2%
 
-1.72243034810.2%
 
-1.71287500910.2%
 
-1.71223282810.2%
 
-1.69795155510.2%
 
-1.69521570210.2%
 
-1.69345378910.2%
 
-1.68792855710.2%
 
ValueCountFrequency (%) 
1.75548648810.2%
 
1.74668705510.2%
 
1.74405205210.2%
 
1.73857104810.2%
 
1.73308658610.2%
 
1.72566354310.2%
 
1.71227693610.2%
 
1.70907282810.2%
 
1.70700275910.2%
 
1.70680868610.2%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.2747706174850466e-10
Minimum-1.8326350450515747
Maximum1.6823798418045044
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:38.372490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.832635045
5-th percentile-1.603259492
Q1-0.8226279318
median0.05972672999
Q30.824901849
95-th percentile1.502334481
Maximum1.682379842
Range3.515014887
Interquartile range (IQR)1.647529781

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-2339306812
Kurtosis-1.168711402
Mean-4.274770617e-10
Median Absolute Deviation (MAD)0.8437280208
Skewness-0.09258132819
Sum-2.137385309e-07
Variance1.000000005
2020-08-25T00:47:38.476171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.699217021510.2%
 
0.781575739410.2%
 
-0.2848200510.2%
 
0.939147710810.2%
 
-0.660632610310.2%
 
1.49086511110.2%
 
1.08461332310.2%
 
-0.158320620710.2%
 
0.138814881410.2%
 
-0.509051978610.2%
 
1.42642307310.2%
 
-0.80012649310.2%
 
0.30910664810.2%
 
-0.682348489810.2%
 
0.82356685410.2%
 
-0.394694834910.2%
 
-1.56485021110.2%
 
-0.744060277910.2%
 
1.40496361310.2%
 
0.843468427710.2%
 
0.47975006710.2%
 
1.27411460910.2%
 
1.1330492510.2%
 
-0.616998374510.2%
 
-1.52217364310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.83263504510.2%
 
-1.80455064810.2%
 
-1.79353761710.2%
 
-1.78864133410.2%
 
-1.7882121810.2%
 
-1.77690362910.2%
 
-1.77602171910.2%
 
-1.77355623210.2%
 
-1.77328085910.2%
 
-1.75871074210.2%
 
ValueCountFrequency (%) 
1.68237984210.2%
 
1.68201911410.2%
 
1.67557823710.2%
 
1.66205656510.2%
 
1.66114735610.2%
 
1.65455901610.2%
 
1.6301968110.2%
 
1.62899851810.2%
 
1.62265765710.2%
 
1.61779403710.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.781177267432213e-10
Minimum-2.8065509796142583
Maximum2.090390682220459
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:47:38.595127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.80655098
5-th percentile-2.00094704
Q1-0.5558528304
median0.214640677
Q30.7335752845
95-th percentile1.269319528
Maximum2.090390682
Range4.896941662
Interquartile range (IQR)1.289428115

Descriptive statistics

Standard deviation0.9999999992
Coefficient of variation (CV)2091535083
Kurtosis-0.1389328893
Mean4.781177267e-10
Median Absolute Deviation (MAD)0.5841504335
Skewness-0.7300133595
Sum2.390588634e-07
Variance0.9999999984
2020-08-25T00:47:38.699766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.551753640210.2%
 
-1.45378315410.2%
 
0.335605382910.2%
 
-0.0140887536110.2%
 
0.806954741510.2%
 
-0.225908979810.2%
 
-0.0246376246210.2%
 
0.977219164410.2%
 
0.762039780610.2%
 
0.344565421310.2%
 
-0.687822699510.2%
 
0.65071445710.2%
 
0.402506083310.2%
 
0.908459484610.2%
 
0.358992427610.2%
 
-0.591149389710.2%
 
0.165762707610.2%
 
0.296425044510.2%
 
1.10613775310.2%
 
0.106243260210.2%
 
0.153649061910.2%
 
0.675661504310.2%
 
-0.109173409610.2%
 
0.134993493610.2%
 
0.0202364455910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.8065509810.2%
 
-2.65399789810.2%
 
-2.57086658510.2%
 
-2.51185250310.2%
 
-2.51055741310.2%
 
-2.45800876610.2%
 
-2.41669368710.2%
 
-2.41472458810.2%
 
-2.3733596810.2%
 
-2.33115315410.2%
 
ValueCountFrequency (%) 
2.09039068210.2%
 
2.05134820910.2%
 
1.99348545110.2%
 
1.85557794610.2%
 
1.80711150210.2%
 
1.74216365810.2%
 
1.71924078510.2%
 
1.51062607810.2%
 
1.50836479710.2%
 
1.46304774310.2%
 

Interactions

2020-08-25T00:46:34.652900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:34.802975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:34.950426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:35.086352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:35.234580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:35.381547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:35.526969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:35.673945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:35.979025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:36.125860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:36.269035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:36.408993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:36.555794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:36.700053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:36.848599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:36.997235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:37.145031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:37.288123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:37.434216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:37.581860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:37.721640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:37.865611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.005363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.134623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.273445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.412167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.551521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.698308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.839180image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:38.981992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:39.122451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:39.255465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:39.391551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:39.533521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:39.676234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:39.815231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:39.959505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:40.260714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:40.408930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:40.556028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:40.688454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:40.819971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:40.945843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.062584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.187921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.318662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.447898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.577762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.705915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.836830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:41.965426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:42.087573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:42.215034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:42.349572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:42.488678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:42.615192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:42.747951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:42.881225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.009534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.142631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.270147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.411131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.552362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.684028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.824186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:43.967517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:44.107378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:44.415205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:44.554739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:44.698141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:44.837016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:44.968449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:45.106495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:45.246414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:45.389382image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:46:45.532115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:47:15.919333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:16.051330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:16.191253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:16.335863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:16.474740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:16.617322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:16.759957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:16.906643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:17.046739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:17.178017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:17.315462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:17.452904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:17.597669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:17.736283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:17.879159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:18.017789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:18.157827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:18.464898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:18.602494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:18.750611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:18.889795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:19.023160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:19.167682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:19.308910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:19.453582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:19.600237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:19.744141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:19.893729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:20.036974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:20.179040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:20.326050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:20.469667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:20.620257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:20.764655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:20.918046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:21.061376image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:21.205045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:21.355272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:21.491264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:21.636301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:21.773003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:21.901226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:22.039451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:22.182937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:22.320519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:22.459647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:22.771365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:22.920303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:23.064797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:23.201672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:23.343172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:23.483124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:23.626994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:23.769054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:23.915287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:24.059354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:24.203844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:24.350457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:24.486794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:24.632548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:24.780726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:24.910375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:25.050664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:25.190725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:25.331637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:25.469739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:25.607361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:25.752330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:25.892510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:26.024191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:26.164669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:26.308011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:26.452239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:26.591568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:26.738684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:27.047013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:27.186229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:27.326991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:27.462177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:27.620271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:27.767177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:27.903992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:28.048378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:28.193947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:28.336845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:28.479468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:28.623596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:28.774209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:28.918742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:29.062196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:29.208176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:29.348566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:29.494332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:29.636600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:29.790383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:29.933779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:30.079492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:30.232945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:30.376048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:30.513316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:30.647226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:30.771576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:30.903132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:31.034691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:31.336974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:31.472695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:31.605868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:31.745256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:31.880300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.008507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.143342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.279834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.417247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.549015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.686313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.824766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:32.961452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:33.100354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:47:38.849311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:47:39.146237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:47:39.446170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:47:39.746888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:47:33.376401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:33.846750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
0-0.9393300.4665031.3693321.691976-1.1159280.2776741.1259041.3480531.8176721.3445741.245546-1.5067830.1393470.2559490.095249-1.7094470.7356941.4279591.147137-0.138616
1-0.230803-0.9285910.699379-1.3612661.1479191.408724-0.7274141.356297-0.0702111.3276870.4646271.1557660.121168-0.518112-0.1003241.373670-0.698394-0.9707130.123011-2.179875
2-0.8728160.9486110.122215-1.2736131.512323-1.4164010.0375110.3901021.1896800.0992970.355066-1.2752611.3444450.528076-0.4652580.0653660.3336861.638574-1.316199-0.539371
3-1.349861-1.6616190.5699900.782770-1.529999-1.5418140.438282-0.0125690.689598-1.337401-0.1590280.6586820.5536471.547892-0.7023071.1480961.507752-1.2917791.4696230.179501
4-0.7871100.352606-0.8417181.6579400.283915-1.397107-0.323889-0.6980221.3349170.778097-0.6529510.232631-0.3300110.0211051.7065820.5403050.9123130.1079280.7347681.157926
50.590421-0.506419-0.250853-1.6694640.0715140.5761300.0186750.2539841.076089-1.0996280.0896231.5978450.0063510.468978-0.7779661.371724-0.116074-1.0770540.1263640.382664
61.3730590.076050-1.016191-1.0113801.310032-0.739485-1.273253-0.2918201.126988-1.070169-0.498212-0.286278-0.536612-0.271480-0.7200640.9688521.393151-1.012552-0.7440600.440535
71.1632040.7174420.5116881.5127491.3284191.511672-0.5381160.208885-1.2910881.1143620.3206521.5823810.591542-0.683837-0.9760371.536865-0.345201-1.332780-0.509052-1.421093
80.9254660.469245-0.5604430.4799670.321849-0.4922140.436888-0.7791550.1198420.934771-0.7132141.361179-1.610197-0.465822-1.4906501.734502-0.787321-0.9359221.4983780.346742
91.0468681.0536850.624631-0.084395-0.653056-1.212602-0.6028640.1887360.394556-0.698218-0.8230760.1283120.597875-0.3190421.581925-0.0139890.349939-0.969788-0.805821-0.385400

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
490-0.5983901.462143-0.5658170.803275-0.524596-0.0635231.613238-0.4272410.3453151.069466-0.7983450.067470-0.291161-0.6454710.9868530.430582-0.279293-1.0802310.5943301.106138
4910.0079711.0023730.357424-0.887220-0.6158860.2288800.9315640.028968-0.001557-0.2759350.7065711.4824880.7439951.833195-1.484265-0.4248931.0899611.138431-0.8506190.335605
492-0.6048570.9080030.946860-0.7746591.194033-1.677365-0.9912061.1388460.318587-0.7062571.7161410.9410501.1141571.239991-0.7533160.1950350.6874891.2381040.799747-1.122364
493-0.115796-1.160232-0.1081691.6646100.796368-0.2320150.511244-0.114632-0.160266-1.368516-0.449567-0.4682650.247940-1.6735591.4876390.1444840.2236581.1528660.3435650.450561
4940.6732890.062241-1.5234610.2992420.599897-1.1706240.862033-1.062920-1.144028-0.808550-0.218277-1.574334-0.7702050.097547-0.2170921.2400441.0392160.159688-1.683716-0.112839
4951.251415-1.537532-0.2392680.945624-0.6878120.8166881.4010390.1329871.3047880.658420-0.734252-0.6076940.737531-0.8536200.438660-0.4427291.0517801.686997-1.7935380.793753
4960.7564700.6762951.132122-0.871992-0.0621950.134773-0.3008620.6397990.0831171.613090-0.9669330.2653161.203715-1.0161701.507821-1.4449570.352450-0.7986810.204556-1.462258
4971.2354021.4220500.774384-1.0910080.1084760.017784-0.8085300.203377-0.1941411.2111510.7798710.2217590.2945310.8581550.9937681.458773-1.5595070.036788-0.377867-0.471716
4980.3352431.076988-1.0137060.198448-0.3246890.4922450.039636-0.6947030.0731240.820507-1.156979-0.9988780.732142-1.1689770.1843950.4706120.8551671.755486-0.2278800.650776
4990.011568-1.547331-0.794351-0.624273-0.2035400.0692900.795952-1.368953-0.657311-0.739432-0.528024-1.4387141.6919181.3651070.6807170.6407440.863987-0.6469200.7815760.983754